class_docstr: The original article refers to refer to https://arxiv.org/pdf/2107.00782
  
  Args:
      inplanes (int): Input channels of feature.
      planes (int): Output channels of feature.
      kernel_size (int, optional): The kernel size of Conv2D. Default: 1
      stride (int, optional): The stride length of Conv2D. Default: 1
code: def forward(self, x):
      context_channel = self.spatial_pool(x)
      context_spatial = self.channel_pool(x)
      out = context_spatial + context_channel
      return out
  
file_path: PaddleSeg/paddleseg/models/layers/polaried_self_attention.py
imports: import paddle
  import paddle.nn
  from paddleseg.cvlibs import param_init
label_desc: Use image node_id 4 for calling the PolarizedSelfAttentionModule obj's underlying member method code with example usage: obj.forward(x) and returns: out